Python 3 and Data Analytics Pocket Primer

Campesato, Oswald

ISBN 10: 1683926544 / ISBN 13: 9781683926542

Editore: Mercury Learning and Information, 2021

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Dati bibliografici

Titolo: Python 3 and Data Analytics Pocket Primer

Casa editrice: Mercury Learning and Information

Data di pubblicazione: 2021

Legatura: Brossura

Condizione: Very Good

Descrizione articolo

Riassunto:

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning. The book includes numerous code samples using NumPy, Pandas, Matplotlib, Seaborn, and features an appendix on regular expressions. Companion files with source code and color figures are available online by emailing the publisher with proof of purchase at info@merclearning.com.

FEATURES:

• Includes a concise introduction to Python 3
• Provides a thorough introduction to data and data cleaning
• Covers NumPy and Pandas
• Introduces statistical concepts and data visualization (Matplotlib/Seaborn)
• Features an appendix on regular expressions
• Includes companion files with source code and figures

Informazioni sull?autore:

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).